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Downloading data from textual deep W...

Yuan, Xiaolei.

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Downloading data from textual deep Web using clustering.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Downloading data from textual deep Web using clustering./
作者:	Yuan, Xiaolei.
面頁冊數:	69 p.
附註:	Source: Masters Abstracts International, Volume: 46-04, page: 2175.
Contained By:	Masters Abstracts International46-04.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR34985
ISBN:	9780494349854

Downloading data from textual deep Web using clustering.
Yuan, Xiaolei.

Downloading data from textual deep Web using clustering. - 69 p.

Source: Masters Abstracts International, Volume: 46-04, page: 2175.

Thesis (M.Sc.)--University of Windsor (Canada), 2007.

Keywords: deep web, hidden web data discovery, data mining, clustering, information retrieval.

ISBN: 9780494349854Subjects--Topical Terms:

626642
Computer Science.

Downloading data from textual deep Web using clustering.
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520 $a Deep web is the web that is dynamically generated from data sources such as databases or file systems. Crawling deep web is the process of collecting hidden data by issuing appropriate queries in order to download most of the data. Our main challenge is to select appropriate queries in order to obtain most of the data from a data source. A naive solution, which selects the queries that return most results, is problematic because (1) the results may not cover the data source, and more importantly, (2) the results suffer from high overlap, which makes the acquisition of new data items almost impossible after certain steps. The thesis experiments with four different algorithms to select the queries that minimize the overlap rate: (1) greedy algorithm based on set packing; (2)cluster-based algorithm to remove the queries that result in similar returns.
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